Humanoid Occupancy：首个多模态人形机器人感知系统！解决运动学干扰和遮挡问题

Core Viewpoint - The article discusses the rapid development of humanoid robot technology, emphasizing the introduction of a generalized multimodal occupancy perception system called Humanoid Occupancy, which enhances environmental understanding for humanoid robots [2][3][6]. Group 1: Humanoid Robot Technology - Humanoid robots are considered the most complex form of robots, embodying aspirations for advanced robotics and artificial intelligence [6]. - The technology is at a critical breakthrough stage, with ongoing iterations in motion control and autonomous perception [6]. Group 2: Humanoid Occupancy System - The Humanoid Occupancy system integrates hardware, software components, data collection devices, and a specialized labeling process to provide comprehensive environmental understanding [3]. - It utilizes advanced multimodal fusion technology to generate grid-based occupancy outputs that encode spatial occupancy states and semantic labels [3]. - The system addresses unique challenges such as kinematic interference and occlusion, establishing effective sensor layout strategies [3]. Group 3: Research and Development - A panoramic occupancy dataset specifically designed for humanoid robots has been developed, providing valuable benchmarks and resources for future research [3]. - The network architecture combines multimodal features and temporal information to ensure robust perception capabilities [3]. Group 4: Live Broadcast and Expert Insights - A live broadcast is scheduled to discuss humanoid robot motion control, multimodal perception systems, autonomous movement, and operational data [6][8]. - The session will feature insights from Zhang Qiang, the academic committee director at the Beijing Humanoid Robot Innovation Center [8].